Take AI From Model to Product

AI Engineer

Train a model. Test its value. Turn it into a feature people can use.

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About AI Engineer

Take your Python and machine learning foundations further. Build and evaluate a model, then integrate it into a team product with PMs, Designers, and Software Engineers. Practice the full journey from data to a working AI feature.

AI Engineer x AI Connect. Build your AI skills with AI Connect, the Official AI Engineer Path Partner of Academya Arkavidia 11.0.

Timeline

Seminar Phase4 to 19 December 2026
Path Project Launch12 December 2026
Path Project Pitching26 December 2026
Final Project: Product Discovery26 December 2026 to 2 January 2027
Final Project: Initiation2 to 9 January 2027
Final Project: Development and Launch9 to 23 January 2027
Pitching Day and Graduation30 January 2027

Seminar Phase
4 to 19 December 2026
Path Project Launch
12 December 2026
Path Project Pitching
26 December 2026
Final Project: Product Discovery
26 December 2026 to 2 January 2027
Final Project: Initiation
2 to 9 January 2027
Final Project: Development and Launch
9 to 23 January 2027
Pitching Day and Graduation
30 January 2027

Our Curriculum

Machine Learning Fundamentals
Explore supervised and unsupervised learning, evaluation, and overfitting.
Deep Learning
Learn neural networks, CNNs, RNNs, and transformer basics.
Practical AI Development
Build models with TensorFlow, PyTorch, and scikit-learn.
AI Integration
Serve models through APIs and connect them to backend systems.
Generative AI
Explore LLMs, prompt engineering, and Retrieval-Augmented Generation.
Applied Practice
Build and evaluate a model, then integrate it into a team product.

Requirements

General Requirements

Active S1 or D4 student in semesters 1 to 5 at an accredited Indonesian university.
Valid, active student ID (KTM).
Commit to all nine weeks, including offline attendance on 30 to 31 January 2027.
Reliable internet and a laptop or computer for sessions and projects.
Collaborate actively, respond to feedback, and complete all assignments and projects.
No other bootcamp with a conflicting schedule.

AI Engineer Specific Requirements

Basic understanding of Python programming
Coursework or project experience in machine learning, data processing, or statistics.
Neural network or TensorFlow, PyTorch, or scikit-learn knowledge is a plus.